Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Andreas Maniatopoulos"'
Publikováno v:
Information, Vol 13, Iss 9, p 405 (2022)
The recent boom of artificial Neural Networks (NN) has shown that NN can provide viable solutions to a variety of problems. However, their complexity and the lack of efficient interpretation of NN architectures (commonly considered black box techniqu
Externí odkaz:
https://doaj.org/article/852a38c7c73a4291b140986503ffaebe
Publikováno v:
Information, Vol 12, Iss 12, p 513 (2021)
In neural networks, a vital component in the learning and inference process is the activation function. There are many different approaches, but only nonlinear activation functions allow such networks to compute non-trivial problems by using only a s
Externí odkaz:
https://doaj.org/article/ae0c5be334034ddca897deae4b0b14a2
Publikováno v:
Information; Volume 13; Issue 9; Pages: 405
The recent boom of artificial Neural Networks (NN) has shown that NN can provide viable solutions to a variety of problems. However, their complexity and the lack of efficient interpretation of NN architectures (commonly considered black box techniqu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::31c0f3cf2f37fb7b2d676b266e47afed
Publikováno v:
International Journal of Circuits, Systems and Signal Processing. 14:847-854
Pattern Recognition and Classification is considered one of the most promising applications in the scientific field of Artificial Neural Networks (ANN). However, regardless of the vast scientific advances in almost every aspect of the technology and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26394e92ab81dd2b0ebb9baeaf8d7df1
https://doi.org/10.46300/9106.2020.14.110
https://doi.org/10.46300/9106.2020.14.110
Publikováno v:
International Journal of Economics and Business Research. 25:64
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f7106ea0bebfae552304d3aae57f23f7
https://doi.org/10.1504/ijebr.2023.127271
https://doi.org/10.1504/ijebr.2023.127271
Autor:
Andreas Maniatopoulos, George E. Tsekouras, Nikolaos Mitianoudis, Antonios Chatzipavlis, Anastasios Rigos, Vasilis Trygonis, John V. Tsimikas, Adonis F. Velegrakis
Publikováno v:
Neurocomputing. 280:32-45
This paper investigates the potential of using a novel Hermite polynomial neural network to model shoreline realignment along an urban beach fronted by a highly irregular beachrock reef. Modeling takes place on the basis of a number of input variable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c859192625c70aed35df82e3cb3efdb4
https://doi.org/10.1016/j.neucom.2017.07.070
https://doi.org/10.1016/j.neucom.2017.07.070